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import import import import import import import oracle.xml.xsql.XSQLActionHandlerImpl; oracle.xml.xsql.XSQLActionHandler; oracle.xml.xsql.XSQLPageRequest; oracle.xml.parser.v2.XMLDocument; oracle.xml.parser.v2.XMLElement; oracle.xml.parser.v2.XMLText; oracle.xml.parser.v2.XSLException;
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Tomii, N., and Zhou, L. J. (2000). Depot shunting scheduling using combined genetic algorithm and PERT. In Proceedings COMPRAIL 2000, pp. 437 446. [15] Tomii, N., Zhou, L. J., and Fukumara, N. (1999). Shunting scheduling problem at railway stations. In Lecture Notes in Arti cial Intelligence, 1611, 790 797. [15] Turksen, I. B. (1991). Fuzzy logic-based expert systems for operations management. In C. Y. Suen and R. Shinghal (eds.), Operational Expert System Applications in Canada. Oxford: Pergamon. [9] Turvey, M. T. (1977). Preliminaries to a theory of action with reference to vision. In R. Shaw and J. Bransford (eds.), Perceiving, Acting, and Knowing. Toward an Ecological Psychology. Hillsdale, NJ: Lawrence Erlbaum Associates. [2] Uexkull, J. von, and Kriszat, G. (1970). Streifzuge durch die Umwelten von Tieren und Menschen. Frankfurt: Fischer. (Original work published 1936.) [5] Uexkull, T. von. (1998). Jakob von Uexkulls Umweltlehre. In R. Posner, K. Robering, and T. A. Sebeok (eds.), Semiotics: A Handbook on the Sign-Theoretic Foundations of Nature and Culture, Vol. 2, pp. 2183 2191. Berlin: Walter de Gruyter. [5] Ulusoy, G., and Ozdamar, L. (1996). A framework for an interactive project scheduling system under limited resources. European Journal of Operations Research, 90(2), 362 375. [7] Veloso, M. M. (1996). Towards mixed-initiative rationale-supported planning. In Tate, A. (ed.), Advanced Planning Technology. Menlo Park, CA: AAAI Press. [18] Verbraeck, A. (1991). Developing an Adaptive Scheduling Support Environment. Delft: Ph.D. thesis, University of Delft. [18] Vicente, K. J. (1999). Cognitive Work Analysis. Mahwah, NJ: LEA. [7] Vicente, K. J., and Rasmussen, J. (1990). The ecology of human machine systems II: Mediating direct perception in complex work domains. Ecological Psychology, 2, 207 249. [3] Vidal, F., Bonnet, M., and Macar, F. (1991). Programming response duration in a precueing reaction time paradigm. Journal of Motor Behavior, 23, 226 234. [2] Vlek, C. A. J., and Wagenaar, W. A. (1976). Oordelen en beslissen in onzekerheid (Judging and Deciding under Uncertainty). In J. A. Michon, E. G. J. Eijkman, and L. F. W de Klerk, (eds.), Handboek der Psychonomie (Handbook of Psychonomics). Deventer: van Loghum Slaterus. [4] Waern, Y. (1989). Cognitive Aspects of Computer Supported Tasks. Chichester: John Wiley & Sons. [7, 13] Wa er, T. (2001). Planning and scheduling in secondary work systems. In B. MacCarthy and J. Wilson (eds.), Human Performance in Planning and Scheduling. London: Taylor & Francis. [7] Wagner, H. M. (1970). Principles of Operations Research. Englewood Cliffs, NJ: PrenticeHall, 1970. [8] Watson, J. S., and Ramey, C. T. (1972). Reactions to response-contingent stimulation in early infancy. Merrill-Palmer Quarterly, 18, 219 227. [2] Watson, R. (2000). Prospects for computer aided railway scheduling: perspectives from users and parallels from mass transit. Transportation Planning and Technology, 23(4), pp. 303 321. [17] Wauschkuhn, O. (1992). Untersuchung zur verteilten Produktionsplanung mit Methoden der logischen Programmierung, IWBS Report 215, Wissenschaftliches Zentrum, IWBS, IBM. [9]
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Figure 4-15: In the Chooser dialog box, when you select a printer in the right panel, the Setup button becomes active. Clicking this button enables you to select a PostScript Printer Description (PPD) file. In the Chooser dialog box, note the name of the LaserWriter 8.7 was changed to Distiller 8.7. This change is a personal choice. If you want to change printer driver names, use names descriptive of the kind of driver that is used.
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If necessary, create the layers that you need. If you want to insert a title block, create a separate layer for it. The actual viewports should also be on their own layer. This is because it s common to freeze that layer or set it to non-plottable, so that the borders don t show. Even if you want to plot the viewports, making them a different color from your model helps you to easily distinguish them.
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reactive scheduling algorithm (Lemmermann, 1995; Sauer, 1998). It uses several repair strategies based on the con icts that evolve from the events (e.g., capacity over ow of a machine group). 9.3.1.3. Local Scheduling Tasks. For local scheduling, existing scheduling systems from previous projects and approaches from the literature have been evaluated and can be integrated into the system. Table 9.3 gives an overview of the possible combinations. For the local predictive scheduling tasks, several approaches have been implemented for example, heuristics (Sauer, 1993a), genetic algorithms (Bruns, 1993), neural networks (Martens and Sauer, 1998), and iterative repair (Stegman, 1996). The local reactive scheduling is based on a similar approach as the global reactive part. A local scheduling system has been realized including interactive as well as heuristically guided reactive repair possibilities (Henseler, 1995). 9.3.1.4. Coordination and Communication. One of the important tasks within a multisite scheduling approach is the coordination of scheduling activities on different levels. Most of the work has to be done on the global level that is, distribution of the internal orders and reaction to events from the local schedulers as well as to external events. Additionally, both levels have to be provided with data as actual and consistent as possible. Therefore, information has to be sent between the levels for example, the global schedule consisting of information on internal orders, af liated intermediate products, machine groups to use, time windows that should (possibly) be met, required quantities of intermediate products, and unexpected events that effect the local, respectively, global levels (e.g., the cancellation of an order or breakdowns of machine groups). This communication is done using the blackboard approach. The blackboard approach (Sadeh et al., 1998) is widely used for distributed problem solving and is based on a common data structure called blackboard, which all participating systems can read from or write to. A controller is used to avoid con icts and to order the tasks on the blackboard. In the MUST approach every scheduling system (the global system and the local systems) has its own blackboard on which the tasks and events important for the system are noted. Figure 9.2 shows the blackboard of the global scheduling system and the blackboard of one local system to illustrate the ow of information. The control of the blackboard is integrated in the corresponding scheduling system. 9.4. THE MUST SYSTEM: PROTOTYPICAL IMPLEMENTATION Within the project, the MUST System (Multisite Scheduling System) has been implemented prototypically in PROLOG, re ecting the ideas presented above. It consists of a global scheduling level (logistics level) and a local scheduling level (single plant level) with predictive, reactive, and interactive scheduling components on both levels. Figure 9.3 shows the architecture of the MUST system.
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The horizon problem is the most important problem with the Hot Big Bang model, and refers 10 communication between different regions of the Universe. The crucial ingredient is that the Universe has only a finite age, and so even light can only have travelled a finite diSl.ance by any given time. As I have remarked, the disl.ance which light could have travelled during the lifetime of the Universe give.~ rise to a region known as the observable Universe. This is the region we can actually see, and is always finite regardless of whether or nOI the Universe as a whole is finite or infinite. One of the most imponant properties of the microwave background is lhat it is very nearly isotropic. ThaI is, light seen from all parts of the sky possesses. to very great accuracy, the same temperature of 2. 725 K. Being at the same temperature is the characteristic of thermal equilibrium, and so this observation is nalUraily explained if different regions of the sky have been able to interact and move towards thennal equilibrium. Unfortunately, the light we see from opposite sides of the sky has been (ravelling towards us since decoupiing, dose to the time of the Big Bang itself. Since the light has only just reached us, it can't possibly have made it all the way across to the opposite side of the sky. Therefore there has not been time for two regions on opposite sides of the sky to interact in any way, and so one cannot claim Ihat the regions have the same temperature because they have interacted and established thermal equilibrium. This is illustrated in Figure 13.1.
Web service consumers are clients that call the remote methods exposed by a Web service. Web services, covered in the previous chapter, are services that provide remote methods over a network (typically via the HTTP protocol used by the Internet). In the case of the PIX application, the system makes use of a Web service when validating e-mail addresses. In this way, the PIX system plays the role of Web service consumer invoking the remote e-mail validation Web service to validate an e-mail address. Before a Web service consumer can call a Web service, it must find out the following: What operations (methods) the Web service provides The details of message format (parameters and types) needed to access the service operation Which protocol to use to access the service The actual location of the service over the Internet/intranet the URL at which the service is located
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